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Abstract A032: Interstitial insulin enrichment drives pancreatic cancer growth by enhancing cancer cell metabolic plasticity

2025· article· en· W4414582656 on OpenAlexaff
Jeffrey S.H. Lin, James D. Johnson, Christoph H. Borchers, David F. Schaeffer, Janel L. Kopp

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsJewish General HospitalUniversity of British Columbia
Fundersnot available
KeywordsPancreatic cancerInsulinCancerCancer cellAnaerobic glycolysisGlycolysisCarbohydrate metabolismMetabolism

Abstract

fetched live from OpenAlex

Abstract Metabolic diseases, such as type 2 diabetes, insulin resistance, and obesity, often coexist with pancreatic ductal adenocarcinoma (PDAC) and predict poor survival. Using a mouse model of diet-induced obesity, we showed that a high-fat diet (HFD) consumption that induces hyperinsulinemia, but not hyperglycemia, in mice accelerated the growth of xenografted patient-derived PDAC organoids (PDOs). Strikingly, even in the fasting state, insulin was highly enriched in the tumor interstitial fluid of pancreatic tumors under HFD. Modelling this elevated interstitial insulin concentration in vitro significantly increased PDO growth regardless of glucose levels. Mechanistically, chronic high-insulin exposure robustly enhances metabolic plasticity and nutrient utilization in PDOs by selectively upregulating distinct metabolic pathways in response to differences in extracellular glucose levels. Thus, the presence of robust insulin levels continuously supports tumor growth as glucose availability changes. Specifically, under low-glucose conditions, elevated insulin activates nutrient uptake machinery and amino acid metabolism, whereas it promotes aerobic glycolysis in high-glucose conditions. Pharmacological inhibition of these metabolic pathways attenuated insulin-mediated growth. Our study identifies insulin enrichment in the tumor-interstitial fluid as an important driver of metabolic adaptation in PDAC cells. Citation Format: Jeffrey SH. Lin, James D. Johnson, Christoph H. Borchers, David F. Schaeffer, Janel L. Kopp. Interstitial insulin enrichment drives pancreatic cancer growth by enhancing cancer cell metabolic plasticity [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr A032.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.342
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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